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jev-pref

doeixd/jev-pref

Turn AGENTS.md preferences into a fast, Jev-powered AI linter.

Verification & Guardrails0.96Runner-up: Evaluation & BenchmarkingViewfinderTraffic light
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

jev-pref is a semantic linter for coding agents. It turns project preferences from AGENTS.md into jev-pref.json rules, checks them against diffs, staged files, or pull requests, and returns findings to the agent.

How it uses Jev

Jev classifies evidence in each diff hunk, staged file set, or pull request against project-defined semantic checks. jev-pref maps Jev's probabilities to approve, advisory, or fix_now outcomes, feeds findings back to the coding agent, and exits nonzero on blocking findings.

Primitives:choicescore

Technique worth stealing

Shape broad preferences into concrete, evidence-grounded checks with one judgment each, and leave deterministic rules to existing tooling.

Try it

Run npx jev-pref setup, then npx jev-pref review --hunks.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.72
  • Shows a System One patternunclear0.44
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalunclear0.52
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.37 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.72Shows a System One pattern0.44Describes handling uncertainty0.05Reports measured numbers0.04Is a runnable tool0.98Top-10 learning shortlist signal0.52Is a replica of the model0.0400.51Solves a common problem (0–2)1.37 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.96Viewfinder0.71Check-up0.61Question bank0.60Questionnaire0.32Grey zone0.29Funnel0.25Inspection0.25Thermostat0.22Scorecard0.2100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.